['__add__', '__class__', '__contains__', '__delattr__', '__delitem__', '__dir__', '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__', '__getitem__', '__gt__', '__hash__', '__iadd__', '__imul__', '__init__', '__iter__', '__le__', '__len__', '__lt__', '__mul__', '__ne__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__reversed__', '__rmul__', '__setattr__', '__setitem__', '__sizeof__', '__str__', '__subclasshook__', 'append', 'clear', 'copy', 'count', 'extend', 'index', 'insert', 'pop', 'remove', 'reverse', 'sort']
['__add__', '__class__', '__contains__', '__delattr__', '__dir__', '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__', '__getitem__', '__getnewargs__', '__gt__', '__hash__', '__init__', '__iter__', '__le__', '__len__', '__lt__', '__mul__', '__ne__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__rmul__', '__setattr__', '__sizeof__', '__str__', '__subclasshook__', 'count', 'index']
['__class__', '__contains__', '__delattr__', '__delitem__', '__dir__', '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__', '__getitem__', '__gt__', '__hash__', '__init__', '__iter__', '__le__', '__len__', '__lt__', '__ne__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__setattr__', '__setitem__', '__sizeof__', '__str__', '__subclasshook__', 'clear', 'copy', 'fromkeys', 'get', 'items', 'keys', 'pop', 'popitem', 'setdefault', 'update', 'values']
['__and__', '__class__', '__contains__', '__delattr__', '__dir__', '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__', '__gt__', '__hash__', '__iand__', '__init__', '__ior__', '__isub__', '__iter__', '__ixor__', '__le__', '__len__', '__lt__', '__ne__', '__new__', '__or__', '__rand__', '__reduce__', '__reduce_ex__', '__repr__', '__ror__', '__rsub__', '__rxor__', '__setattr__', '__sizeof__', '__str__', '__sub__', '__subclasshook__', '__xor__', 'add', 'clear', 'copy', 'difference', 'difference_update', 'discard', 'intersection', 'intersection_update', 'isdisjoint', 'issubset', 'issuperset', 'pop', 'remove', 'symmetric_difference', 'symmetric_difference_update', 'union', 'update']

print('__next__' in dir(range(12)))  #查看'__next__'是不是在range()方法执行之后内部是否有__next__
print('__iter__' in dir(range(12)))  #查看'__next__'是不是在range()方法执行之后内部是否有__next__from collections import Iterator
print(isinstance(range(100000000),Iterator))  #验证range执行之后得到的结果不是一个迭代器

import time
def genrator_fun1():a = 1print('现在定义了a变量')yield ab = 2print('现在又定义了b变量')yield bg1 = genrator_fun1()
print('g1 : ',g1)       #打印g1可以发现g1就是一个生成器
print('-'*20)   #我是华丽的分割线
print(next(g1))
time.sleep(1)   #sleep一秒看清执行过程
print(next(g1))

#初识生成器二def produce():"""生产衣服"""for i in range(2000000):yield "生产了第%s件衣服"%iproduct_g = produce()
print(product_g.__next__()) #要一件衣服
print(product_g.__next__()) #再要一件衣服
print(product_g.__next__()) #再要一件衣服
num = 0
for i in product_g:         #要一批衣服，比如5件print(i)num +=1if num == 5:break#到这里我们找工厂拿了8件衣服，我一共让我的生产函数(也就是produce生成器函数)生产2000000件衣服。
#剩下的还有很多衣服，我们可以一直拿，也可以放着等想拿的时候再拿

import timedef tail(filename):f = open(filename)f.seek(0, 2) #从文件末尾算起while True:line = f.readline()  # 读取文件中新的文本行if not line:time.sleep(0.1)continueyield linetail_g = tail('tmp')
for line in tail_g:print(line)

def averager():total = 0.0count = 0average = Nonewhile True:term = yield averagetotal += termcount += 1average = total/countg_avg = averager()
next(g_avg)
print(g_avg.send(10))
print(g_avg.send(30))
print(g_avg.send(5))

def init(func):  #在调用被装饰生成器函数的时候首先用next激活生成器def inner(*args,**kwargs):g = func(*args,**kwargs)next(g)return greturn inner@init
def averager():total = 0.0count = 0average = Nonewhile True:term = yield averagetotal += termcount += 1average = total/countg_avg = averager()
# next(g_avg)   在装饰器中执行了next方法
print(g_avg.send(10))
print(g_avg.send(30))
print(g_avg.send(5))

def gen1():for c in 'AB':yield cfor i in range(3):yield iprint(list(gen1()))def gen2():yield from 'AB'yield from range(3)print(list(gen2()))

#老男孩由于峰哥的强势加盟很快走上了上市之路,alex思来想去决定下几个鸡蛋来报答峰哥

egg_list=['鸡蛋%s' %i for i in range(10)] #列表解析#峰哥瞅着alex下的一筐鸡蛋,捂住了鼻子,说了句:哥,你还是给我只母鸡吧,我自己回家下

laomuji=('鸡蛋%s' %i for i in range(10))#生成器表达式
print(laomuji)
print(next(laomuji)) #next本质就是调用__next__
print(laomuji.__next__())
print(next(laomuji))

#列表解析
sum([i for i in range(100000000)])#内存占用大,机器容易卡死#生成器表达式
sum(i for i in range(100000000))#几乎不占内存

def demo():for i in range(4):yield ig=demo()g1=(i for i in g)
g2=(i for i in g1)print(list(g1))
print(list(g2))

def add(n,i):return n+idef test():for i in range(4):yield ig=test()
for n in [1,10]:g=(add(n,i) for i in g)print(list(g))

import osdef init(func):def wrapper(*args,**kwargs):g=func(*args,**kwargs)next(g)return greturn wrapper@init
def list_files(target):while 1:dir_to_search=yieldfor top_dir,dir,files in os.walk(dir_to_search):for file in files:target.send(os.path.join(top_dir,file))
@init
def opener(target):while 1:file=yieldfn=open(file)target.send((file,fn))
@init
def cat(target):while 1:file,fn=yieldfor line in fn:target.send((file,line))@init
def grep(pattern,target):while 1:file,line=yieldif pattern in line:target.send(file)
@init
def printer():while 1:file=yieldif file:print(file)g=list_files(opener(cat(grep('python',printer()))))g.send('/test1')协程应用：grep -rl /dir